Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens. As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, and data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.
We are looking for a Machine Learning Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time and 100% remote.
Responsibilities
- Experiment with emerging technologies and contribute to building new models and systems
- Implement prototypes of the algorithms and models you design in Python
- Focus on delivering solutions to production (this is not a research-only role)
- Design training and evaluation protocols
- Set up monitoring for performance metrics and overall system behaviour including alerts for any anomaly detected
- Partner closely with the platform engineering team to streamline and optimize MLOps workflows
- Use Kanban to manage multiple releases per week
- Maintain high code quality through code reviews and automated tests
Here are a few indicators that you're the right person
- You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks
- You want to be part of a small team inside a large company with massive opportunity for growth
- You enjoy collaboration with other teams including product, biz dev, and our in-house QA team
- You eagerly dig into complex engineering problems
Qualifications
- You have hands-on experience implementing production machine learning systems at scale
- Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn etc
- Familiarity with ML tools like MLFlow, Ray Serving
- Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis
- Familiarity with AWS and Google Cloud big data products
We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.
Apply on company website Brazil - Remote Remote (Country) Full-time